AI Investors Weigh Soaring Infrastructure Costs Against Future Growth, ING Says

Investors are reassessing their positions in the artificial intelligence sector as massive spending on infrastructure threatens to weigh on earnings growth and valuation multiples, according to a recent analysis by ING. While long-term demand for AI services remains robust, the near-term financial impact of soaring capital expenditures is becoming a key concern.

The Cost of Innovation

The core issue for investors is the effect of heavy infrastructure investment on company financials. According to ING, this spending is expected to have several downstream consequences:

• Increased Depreciation: Higher capital expenditure directly leads to greater depreciation costs, which will be a drag on reported earnings.
• Slower EPS Growth: The combination of higher costs and investments could slow the pace of earnings per share (EPS) growth.
• Reduced Buybacks: Companies may divert cash flow to fund these projects, reducing their capacity for share repurchases, a key mechanism that has historically supported tech stock valuations.

This uncertainty has contributed to significant volatility in tech stocks. In the first half of 2026, for example, Microsoft shares fell 20% and Oracle dropped 27%, while Alphabet gained 14%, reflecting divergent investor sentiment on the returns from AI investments.

Tech Giants Under Scrutiny

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Analysts note that while current spending levels appear economically justified, certain companies face distinct pressures. Demand for AI computing continues to outpace available capacity, and most large tech firms can finance their investments through operating cash flow.

Microsoft, for instance, is investing approximately $65 billion in cloud and AI infrastructure in fiscal 2025 while generating an annualized AI revenue of roughly $37 billion. However, ING warns that for Microsoft, Alphabet, and Meta Platforms, this spending will likely reduce free cash flow and limit buybacks, potentially making investors hesitant to pay premium multiples if AI revenue takes longer to materialize.

Oracle is viewed as a higher-risk case, as its ambitious investment program could strain cash flow and increase its need for external funding. Meanwhile, chipmaker Nvidia may face stronger long-term competition as major clients like Microsoft, Alphabet, and Amazon develop their own custom AI chips to improve efficiency.

A Bet on Future Returns

Despite the risks, the current wave of AI spending is largely seen as a fundamentally sound long-term strategy. The central question for investors is whether the eventual revenue growth, profit margins, and earnings expansion will justify the immense level of investment being committed today.